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A recent internal report indicated that the mean number of miles between oil changes for franchise customers is at least 3,500. One franchise owner conducted a study to determine whether this statement was accurate for his franchise's customers. He selected a simple random sample of 10 customers and determined the number of miles each had driven the car between oil changes. The sample data that were obtained is listed in the accompanying table. A. use the test statistic approach to test the null hypothesis with ?= 0.01Table: 3,3944,1921,9812,7103,2863,4623,0423,3513,7453,578Determine the critical value for α= 0.01 = Calculate the test statistics The Test Statistics is ?
What does analysis of variance mean? One of the students answers this question as follows:
Iindependently of one another. Two hundred seeds of such a cross are raised, and 142 turn out to be blue-flowering. Are the data consistent with the model?
construct a frequency distribution table and describe the shape of the distribution, what score identifies the center for the distribution and are the scores clustered or spread across the scale?
What is the probability exactly one of the three audited had a charitable deduction of more than $1,000? What is the probability at least one of the audited returns had a charitable contribution of more than $1,000?
The weights of dormitory cockroaches follow a normal distribution. 14% of the dormitory cockroaches weigh below 77 grams and 10% of them weigh above 82 grams. Find the mean and standard deviation of their weights.
Percentage who say "Yes" from 7% to 3.5%? Explain to someone who knows no statistics the advantage of taking a larger sample in a survey of opinion.
When the null hypothesis is rejected in the goodness-of-fit test, it means there is close agreement between the observed and expected frequencies.
a. Formulate the null and alternative hypotheses. b. Which statistical test would you use? Why?
Identify a key variable that you want to predict, and specify at least two variables that you think would be key in making that prediction.
Develop a regression model for predicting the difference in the asking price and selling price.
Where should the warranty limits be set so that only 10% of the TVs need repairs at the manufacturer's expense?
Please address the following question: Solve for x. Write your answer as a fraction in simplest form.
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